24.02.2023, 16:11
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Software Libraries Explained - Python Programming For All
Last updated 5/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 24.21 GB | Duration: 32h 13m
Learn to program and use Matplotlib and NumPy! Make 2D and 3D graphs with math. Make predictions with data with analysis
What you'll learn
Code in the web's most popular programming language: Python
Create basic line and scatter plots with Matplotlib 1.5
Read finance data directly from Yahoo
Customise our graphs with visuals, a title, labels, text and a legend
Organize data into histograms, pie charts, and box and whisker plots
Perform calculations, functions and statistics with NumPy
And so much more in this massive life-changing course
Requirements
The free data science platform Anaconda 4.2.0
Otherwise, you can download and install Python, Matplotlib, and NumPy online
Topics involve intermediate math, so familiarity with university-level math is very helpful.
Description
Graphing & Programming for Everyone: Math & Computer ScienceDon't miss out on this epic course of web programming and using the latest technology for prediction and data analysis. Enroll now to learn Python, Matplotlib, and NumPy - three massive topics in one straightforward course.This course was funded by a wildly successful Kickstarter.Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.
Learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output. We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.Take your Python knowledge and apply it to Matplotlib. We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!Go through every step you need to create and shape NumPy and 2D arrays. Learn how to resize, format, and sort arrays. Then we cover how to perform calculations within NumPy arrays. You learn about math functions, statistics, and polynomials with NumPy. Choose this course today We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experience by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content."The Instructor goes very in-depth about everything. This is very helpful to remember all these different things!" - KingSloth_GameStudio on The Ultimate iOS 11 Course"I really like the approach the presenter takes - not just the technical details, but also the very human, personal development information and recommendations he provides." - Michael on The Ultimate iOS 11 Course"The instructor is very good at teaching. He teaches at a great pace and covers anything a beginner would need to understand (every little detail). I am already learning a lot and I just started yesterday. - Mike on Build 30 Mini Virtual Reality Games in Unity3D from ScratchEnroll now to join the Mammoth community!
Overview
Lecture 1 Course Trailer
Section 1: Introduction to Python
Lecture 2 Python Introduction
Section 2: Basic of Programming
Lecture 3 Variables
Lecture 4 Functions
Lecture 5 If Statements
Section 3: Introduction to Lists
Lecture 6 Lists
Section 4: Introduction to Loops
Lecture 7 Using For Loops (with Examples)
Lecture 8 Introduction to While Loops
Lecture 9 Breaking and Continuing In Loops
Lecture 10 Making Shapes with Loops
Lecture 11 Nest Loops, Printing & Tic Tac Toe
Section 5: Introduction to Sets and Dictionaries
Lecture 12 Sets and Dictionaries
Lecture 13 EXAMPLE: Inventory List
Section 6: Introduction to Input and Output
Lecture 14 Implementing Input and Output
Lecture 15 Integrating File Input and Output
Lecture 16 EXAMPLE: Tic Tac Toe (Part 1)
Lecture 17 EXAMPLE: Tic Tac Toe (Part 2)
Lecture 18 EXAMPLE: Writing Participant Data to File
Lecture 19 EXAMPLE: Reading Participant Data to File
Lecture 20 EXAMPLE: Simple Statistics with Data from File
Section 7: Introduction to Classes
Lecture 21 A First Look at Classes
Lecture 22 Inheritance and Classes
Lecture 23 EXAMPLE: Classes Using Pets
Lecture 24 EXAMPLE: Classes Using Dogs
Lecture 25 EXAMPLE: Classes Using Cats
Lecture 26 EXAMPLE: Adding Humans to Pets Class
Section 8: Introduction to Importing
Lecture 27 Importing and the Random Library
Lecture 28 Another Way to Import and Use Lists with Random
Lecture 29 Using the Time Library
Lecture 30 Introduction to the Math Library
Lecture 31 EXAMPLE: Make a Random Guessing Game
Lecture 32 EXAMPLE: Make Computer Guess a Number
Section 9: PROJECT: Python Blackjack Game
Lecture 33 Creating and Shuffling a Deck
Lecture 34 Creating a Player Class
Lecture 35 Expanding the Player Class
Lecture 36 Implementing a Bet and Win
Lecture 37 Implementing Player Moves
Lecture 38 Running the Game
Section 10: Introduction to Error Handling
Lecture 39 Error Handling
Section 11: Challenge! Python Coding Exercises
Section 12: Introduction to Matplotlib
Lecture 40 Installing Matplotlib
Lecture 41 Introduction to Matplotlib
Section 13: Basics of Matplotlib
Lecture 42 Setup and Installation
Lecture 43 Creating our First Scatter Plot
Lecture 44 Line Plots
Section 14: Graph Customization
Lecture 45 Labels, Title and Legend
Lecture 46 Changing the Axis Ticks
Lecture 47 Adding Text to a Graph
Lecture 48 Annotating a Graph
Lecture 49 Changing Figure Size and Saving
Lecture 50 Changing Axis Scales
Section 15: Advanced Plots in Matplotlib
Lecture 51 Creating Histograms (Part 1)
Lecture 52 Creating Histograms (Part 2)
Lecture 53 Changing Histogram Types
Lecture 54 Bar Plots
Lecture 55 Stack Plots
Lecture 56 Pie Charts
Lecture 57 Box and Whisker Plots
Section 16: Finance Graphs
Lecture 58 Creating Figures and Subplots
Lecture 59 Getting and Parsing CSV Data for Plotting
Lecture 60 Creating a Candlestick Plot
Lecture 61 Setting Dates for our Candlestick Plot
Lecture 62 Reading Data directly from Yahoo
Lecture 63 Customizing our OHLC Graph
Section 17: Advanced Graph Customization
Lecture 64 Adding Grids
Lecture 65 Tick Labels
Lecture 66 Customizing Grid Lines
Lecture 67 Live Graphs
Lecture 68 Styles and rc Parameters
Lecture 69 Sharing an X-axis between Two Plots
Lecture 70 Setting Axis Spines
Lecture 71 Creating Multiple Axes in a Figure (Part 1)
Lecture 72 Creating Multiple Axes in a Figure (Part 2)
Lecture 73 Plotting into Multiple Axes (Part 1)
Lecture 74 Plotting into Multiple Axes (Part 2)
Section 18: 3D Plotting with Matplotlib
Lecture 75 Introduction to 3D Plotting
Lecture 76 Surface Plots and Colormaps
Lecture 77 Wireframes and Contour Plots
Lecture 78 Stacks of Histograms and Text for 3D Plotting
Section 19: Introduction to NumPy
Lecture 79 NumPy Introduction
Section 20: NumPy Arrays
Lecture 80 Create and Reshape NumPy Arrays
Lecture 81 Create Standard NumPy Arrays
Lecture 82 Create Standard 2D Arrays
Lecture 83 Attributes on NumPy Arrays
Lecture 84 Resizing Arrays
Section 21: Manipulating NumPy Arrays
Lecture 85 Write an Array to File and Format Strings
Lecture 86 Random Numbers
Lecture 87 Sorting in NumPy
Section 22: Calculations and Math
Lecture 88 Calculations within NumPy Arrays
Lecture 89 Math Functions with NumPy
Lecture 90 Integrating with NumPy
Lecture 91 Statistics with NumPy
Lecture 92 Polynomials (Part 1)
Lecture 93 Polynomials (Part 2)
Section 23: Bonus
Lecture 94 Please rate this course
Lecture 95 Bonus Lecture
Anyone who wants to learn to code for the web in the popular Python programming language.,Experienced programmers who want to learn a 2D plotting library for Python.,Beginners who want to learn to code for the web and make games in the popular Python programming language.
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